Supervised Machine Learning in Wind Forecasting and Ramp Event Prediction provides an up-to- date overview on the broad area of wind generation and forecasting, with a focus on the role and need of Machine Learning in this emerging field of knowledge. Various regression models and signal decomposition techniques are presented and analyzed, including least-square, twin support and random forest regression, all with supervised Machine Learning. The specific topics of ramp event prediction and wake interactions are addressed in this book, along with forecasted performance. Wind speed forecasting has become an essential component to ensure power system security, reliability and safe operation, making this reference useful for all researchers and professionals researching renewable energy, wind energy forecasting and generation.

Supervised Machine Learning in Wind Forecasting and Ramp Event Prediction (Volume 1) (Wind Energy Engineering, Volume 1)

Science & Math

Deb, Dipankar

Dhiman, Harsh S.

Emilia Balas PhD, Valentina

Environment

Academic Press

Degradation, Mitigation and Forecasting Approaches in Thin Film Photovoltaics covers detailed descriptions of cell to module level fundamentals of photovoltaics including thin-film materials, performance, maintenance procedures and performance forecasting approaches. Designed to help readers better understand the complexities of photovoltaics, covering the most important aspects of PV cell design, fabrication and performance limiting issues coupled with case studies dedicated towards the forecasting approaches for performance degradations occurring in PV panels. Through theoretical and experimental techniques and methods for performance prediction of the PV cells and modules, this reference concludes with an analysis of the emerging PV technologies for the future. Particularly helpful to researchers because the chapters are aligned in a way that enables readers to start from the fundamentals of PVs and end up with a sound understanding of the current and upcoming PV challenges and ways to deal with them.

Degradation, Mitigation, and Forecasting Approaches in Thin Film Photovoltaics

Bhargava, Kshitij

Technology

This book addresses a range of solutions and effective control techniques for Microbial Fuel Cells (MFCs), intended as a response to the increased energy consumption and wastewater production stemming from globalization. It describes the fundamentals of MFCs and control-oriented mathematical models, and provides detailed information on uncertain parameters. Various control techniques like robust control with LMI, adaptive backstepping control, and exact linearization control are developed for different mathematical models. In turn, the book elaborates on the basics of adaptive control, presenting several methods in detail. It also demonstrates how MFCs can be developed at the laboratory level, equipping readers to develop their own MFCs for experimental purposes. In closing, it develops a transfer function model for MFCs by combining a system identification technique and model reference adaptive control techniques. By addressing one of the most promising sources of clean and renewable energy, this book provides a viable solution for meeting the world's increasing energy demands.

Adaptive and Intelligent Control of Microbial Fuel Cells (Intelligent Systems Reference Library, 161)

Computers & Technology

Dey, Rajeeb

Patel, Ravi

E. Balas, Valentina

Computer Science

Springer

This book at hand is an appropriate addition to the field of fractional calculus applied to control systems. If an engineer or a researcher wishes to delve into fractional-order systems, then this book has many collections of such systems to work upon, and this book also tells the reader about how one can convert an integer-order system into an appropriate fractional-order one through an efficient and simple algorithm. If the reader further wants to explore the controller design for the fractional-order systems, then for them, this book provides a variety of controller design strategies. The use of fractional-order derivatives and integrals in control theory leads to better results than integer-order approaches and hence provides solid motivation for further development of control theory. Fractional-order models are more useful than the integer-order models when accuracy is of paramount importance. Real-time experimental validation of controller design strategies for the fractional-order plants is available. This book is beneficial to the academic institutes for postgraduate and advanced research-level that need a specific textbook on fractional control and its applications in srobotic manipulators. The book is also a valuable teaching and learning resource for undergraduate and postgraduate students.

Fractional Modeling and Controller Design of Robotic Manipulators: With Hardware Validation (Intelligent Systems Reference Library, 194)

Singh, Abhaya Pal

Agrawal, Himanshu

Balas, Valentina E.

The book covers all the important aspects of research methodology, and addresses the specific requirements of engineering students, such as methods and tools, in detail. It also discusses effective research in engineering today, which requires the ability to undertake literature reviews utilizing different online databases, to attribute credit for any prior work mentioned, to respect intellectual property rights while simultaneously maintaining ethics in research, and much more. Further, the book also considers soft skills like research management and planning, dealing with criticism in research and presentation skills, which are all equally important and need to include in research methodology education. Lastly, it provides the technical knowhow needed to file patents in academia, an important area that is often ignored in research methodology books. The book is a particularly valuable resource for PhD students in India and South East Asia, as research methodology is a part of their coursework.

Engineering Research Methodology: A Practical Insight for Researchers (Intelligent Systems Reference Library, 153)

This book covers selected topics and methods for peripheral security, which are gaining attention nowadays. The book discusses the security arrangement and methods for monitoring the inside/outside entry of peripheral areas that need to be secured. It relates to a periphery, often portable device (as well as the methods employed, and systems including such a peripheral device and a host central command device with which the local geographical command device communicates), enabling one or more security operations performed by the peripheral device. It also covers the security scenario of snow-prone areas in a remote location. It also elaborates how we can secure the person and devices in extremely cold conditions and rescue them. This book helps the researchers, academicians, and industry persons working in security areas to protect unauthentic entry in large scale areas that may be defense camps or civilian applications like large-sized bungalows, institutes, and organizations of national importance. The experimental results are in close conformance to the proposed methodologies.

Recent Trends In Peripheral Security Systems (Services and Business Process Reengineering)

Rawat, Abhishek

Upadhyay, Jatin

Networking & Cloud Computing

Adaptive Compensation of Nonlinear Actuators for Flight Control Applications (Studies in Systems, Decision and Control)

Tao, Gang

Burkholder, Jason

Astronomy & Space Science

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Books by Deb, Dipankar